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studio_environment_create

Create a studio_environment.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>",
      "description": "<description>"
    },
    "name": "studio_environment_create"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
color_tagNo
descriptionYes
prompt_suffixNo
reference_image_keyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations supply the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false), so the agent knows this is a non-idempotent write. The description adds nothing beyond that — no mention of side effects, permission requirements, or whether repeated calls create duplicates (relevant given idempotentHint=false).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short but wastes no opportunity — it is under-specified rather than concise. There is nothing front-loaded because there is nothing to load.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with five parameters, two of them required, and no output schema, the description provides nowhere near enough context to invoke it correctly. The agent cannot tell what values to supply for prompt_suffix or reference_image_key, nor what the result of creation looks like.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has five parameters at 0% description coverage, including required 'name' and 'description' plus unexplained fields like 'prompt_suffix' and 'reference_image_key'. The description names no parameters and clarifies none, leaving semantics such as what a prompt_suffix or color_tag does completely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name as a sentence ('Create a studio_environment') with no elaboration on what a studio environment is or what creating one entails. It does distinguish the verb 'Create' from siblings like studio_environment_list/read/update/delete, but beyond that naming convention there is no added information.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to create an environment versus using an existing one, no prerequisites (e.g. tenant, project scope), and no mention of alternatives. The agent must infer usage entirely from the tool name and sibling naming pattern.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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